Triple
T38629262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Studio Girl |
E937404
|
entity |
| Predicate | hasLeadActorNationality |
P198156
|
FINISHED |
| Object | American |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: American | Statement: [The Studio Girl, hasLeadActorNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadActorNationality Context triple: [The Studio Girl, hasLeadActorNationality, American]
-
A.
hasDirectorNationality
Indicates that the nationality of a director is associated with a given entity (such as a film, organization, or work).
-
B.
hasCountryOfLeadActorBirth
Indicates that the relationship specifies the country where the lead actor in a work was born.
-
C.
nationalityOfActor
Indicates that a specified nationality is associated with, or belongs to, a particular actor.
-
D.
hasCinematographerNationality
Indicates that a cinematographer is associated with a specific nationality.
-
E.
hasCrewNationality
Indicates that the members of a crew possess a specified nationality.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fecd091abc8190872974de731a80fa |
completed | May 9, 2026, 5:58 a.m. |
Created at: May 3, 2026, 4:32 p.m.